Hypocenter Analysis of Aftershocks Data of the Mw 6.3, 27 May 2006 Yogyakarta Earthquake Using Oct-Tree Importance Sampling Method


Article Preview

Yogyakarta earthquake, Mw 6.3, 27 May 2006 had killed 5,571 victims and destroyed more than 1 million buildings. This incident became the most destructive earthquake disaster over the last 11 years in Indonesia. Earthquake mitigation plan in the area has been carried out by understands the location of the fault. The location of the fault is still unclear among geoscientists until now. In this case, analysis of the aftershocks using oct-tree importance sampling method was applied to support the location of the fault that responsible for the 2006 Yogyakarta earthquake. Oct-tree importance sampling is a method that is recursively subdividing the solution domain into exactly eight children for estimating properties of a particular distribution. The final result of the subdividing process is a cell that has a maximum Probability Density Function (PDF) and identified as the location of the hypocenter. Input data consists of the arrival time of the P wave and S wave of the aftershocks catalog from 3-7 June 2006 and the coordinate of the 12 seismometers, and 1D velocity model of the study area. Based on the hypocenter distribution of the aftershocks data with the proposed method show a clearer trend of the fault compared with the aftershocks distribution calculated with the Hypo71 program. The fault trend has a strike orientation of N 42° E with a dip angle of 80° parallel with the fault scarp along the Opak River at the distance of about 15 km to the east. This fault trend is similar with the fault orientation obtained using the Double Difference Algorithm.



Edited by:

Djoko Legono, Radianta Triatmaja, Prof. Priyosulistyo, Veerasak Likhitruangsilp, Lim Pang Zen, Teuku Faisal Fathani, Ali Awaludin, Intan Supraba, Imam Muthohar, Dr. Endita, Fikri Faris and Dr. Inggar Septhia Irawati




A. Wulandari et al., "Hypocenter Analysis of Aftershocks Data of the Mw 6.3, 27 May 2006 Yogyakarta Earthquake Using Oct-Tree Importance Sampling Method", Applied Mechanics and Materials, Vol. 881, pp. 89-97, 2018

Online since:

May 2018




* - Corresponding Author

[1] BAPPENAS, The Government of Yogyakarta Special Region, The Government of Central Java, International Stakeholders, Natural Disaster in Yogyakarta Special Region and Central Java: Initial Assesment of Damage and Loss (in Indonesia), Public Disclosure Authorized BAPPENAS, Jakarta, (2006).

[2] I. A. Sadisun, Understanding Disaster Characteristics: Fundamental Aspect of Disaster Mitigation and Emergency Response (in Indonesia), Conference of Gladian Panji Geografi, Bandung, (2008).

[3] T. R. Walter, R. Wang, B. G. Leuhr, J. Wassermann, Y. Behr, S. Parolai, A. Anggraini, , E. Guenther, M. Sobiesiak, H. Grosser, H. U. Wetzel, C. Milkereit, K. S. Brotopuspito, P. Harjadi, J. Zschau, The 26th May Yogyakarta earthquake of magnitude 6.4 south of Merapi Vulcano: Did lahar deposits amplify ground shaking and thus lead to the disaster?, Geochemistry, Geophysics, Geosystems. 9(5) (2008).

DOI: https://doi.org/10.1029/2007gc001810

[4] A. Anggraini, The 26 May 2006 Yogyakarta Earthquake, Aftershocks and Interactions, Ph.D. Thesis, Fakultat der Universitat Potsdam, (2013).

[5] F. HECHT, U.S. Patent 0262416 A1. (2015).

[6] A. Lomax, A. Michelini, A. Curtis, Encyclopedia of Complexity and Systems Science: Assembles for The First Time The Concepts and Tools for Analyzing Complex Systems in A Wide Range of Fields, Springer-Verlag New York Inc., New York, (2009).

[7] Information on http://alomax.free.fr/nlloc.

[8] D. Wagner, I. Koulakov, W. Rabbel, B. G. Luehr, A. Wittwer, H. Kopp, M. Bohm, G. Asch, MERAMEX Scientists, Joint inversion of active and passive seismic data in Central Java, Geophysical Journal International. 170 (2007) 923–932.

DOI: https://doi.org/10.1111/j.1365-246x.2007.03435.x

[9] A. Lomax, J.Virieux, P. Volant, C. Berge-Thierry, Probabilistic earthquake location in 3–D and layered models, In: C. e. N. R. Thurber, ed. Advances in Seismic Event Location, Kluwer Academic Publishers, Amsterdam, 2000, pp.101-134.

DOI: https://doi.org/10.1007/978-94-015-9536-0_5

[10] A. Tarantola, B. Valette, Inverse problem = quest for information, J. Geophys. 50 (1982) 159-170.

[11] A. Tarantola, Inverse Problem Theory: Methods for Data Fitting and Model Parameter Estimation, Elsevier, Amsterdam, (1987).

[12] T.J. Moser, T. van Eck, G. Nolet, Hypocenter determination in strongly heterogeneous earth models using the shortest path method, J. Geophys. Res. 97 (1992) 6563-6572.

DOI: https://doi.org/10.1029/91jb03176

[13] P. Podvin, I. Lecomte, Finite difference computation of traveltimes in very contrasted velocity models: a massively parallel approach and its associated tools, J. Geophys. 105 (1991) 271-284.

DOI: https://doi.org/10.1111/j.1365-246x.1991.tb03461.x

[14] Information on http://www.corssa.org/export/sites/corssa/.galleries/articles-pdf/Husen-Hardebeck-2010-CORSSA-Eqk-location.pdf.

[15] T. Tsuji, K. Yamamoto, T. Matsuoka, Y. Yamada, K. Onishi, A. Bahar, I. Meilano, H. Z. Abidin, Earthquake fault of the 26 May 2006 Yogyakarta earthquake observed by SAR interferometry, Earth Planets Space. 61 (2009) e29-e32.

DOI: https://doi.org/10.1186/bf03353189

[16] S. Rohadi, Masturyono, Lineation of geology fault based on relocation hypocenter distribution in Java area (in Indonesia), Jurnal Meteorologi dan Geofisika. 16(3) (2015) 199-208.